Remote Sensing
基于物理约束贝叶斯框架的单几何SAR观测海洋表面风场和流场综合反演
Integrated retrieval of ocean surface wind and current fields from single-geometry SAR observations through a physically constrained Bayesian frameworkA method for simultaneously retrieving ocean surface wind and current fields using single-geometry Synthetic Aperture Radar (SAR) data, employing a physically constrained Bayesian framework to improve accuracy. / 一种利用单几何构型合成孔径雷达（SAR）数据同时反演海洋表面风场和流场的方法，采用物理约束贝叶斯框架以提高精度。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-03 19:06:05
Sub-knowledge points
Ocean surface wind field retrievalOcean surface current field retrievalSingle-geometry SAR observation processing
Higher-order knowledge points
Remote Sensing of EnvironmentSynthetic Aperture Radar (SAR)Bayesian inference
Main parameters and performance indicators
SAR observations: Input radar dataSingle-geometry: Limited viewing anglePhysically constrained Bayesian framework: Mathematical inversion method
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsIntegrated retrieval of ocean surface wind and current fields from single-geometry SAR observations through a physically constrained Bayesian frameworkOpen source
Related products and links
Ocean surface wind fieldOcean surface current field
Creation and modification trail
1 recordsRecord title: Integrated retrieval of ocean surface wind and current fields from single-geometry SAR observations through a physically constrained Bayesian framework.
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